Publications by authors named "Huangtao Dai"
Article Synopsis
- This paper presents a new soft sensor model called TSECIT2FNN-LSTM, designed to improve accuracy in modeling complex processes affected by multiple variables and parameter sensitivity.
- The model combines Long Short-Term Memory (LSTM) neural networks with interval type-2 fuzzy inference systems to effectively handle long-term data dependencies and enhance prediction capabilities.
- Experimental results show that the TSECIT2FNN-LSTM model successfully predicts alcohol concentration in wine and nitrogen oxide emissions in gas turbines with better accuracy than existing models.
